Hi, I’m Behrooz Filzadeh #

What I Do #

I’m a Data & ML Engineer specializing in building scalable data systems and production-grade MLOps pipelines on Azure and AWS.

I design and develop end-to-end AI and data platforms that transform raw, messy data into automated, reliable, and cost-efficient workflows. My work spans the entire lifecycle of modern data engineering:

• Large-scale ETL pipelines and feature engineering
• Model deployment, monitoring, and observability
• CI/CD integration using MLflow and modern DevOps practices

Tech Stack & Expertise #

Cloud & Data Platforms #

Technologies I work with:

• Big Data: PySpark, Databricks, Azure Synapse
• MLOps: MLflow, Docker, Kubernetes
• Orchestration: Airflow, Azure Functions, AWS Glue
• Databases: SQL, NoSQL, Data Lakes, Data Warehouses
• CI/CD: GitHub Actions, Azure DevOps, Jenkins

Programming Languages #

languages = {
    "primary": ["Python", "SQL"],
    "secondary": ["R", "Bash"],
    "paradigm": "Cloud-native, scalable architectures"
}

What Drives Me #

I’m passionate about creating clean, scalable, cloud-native architectures that empower machine learning at production scale. My focus areas include:

• Automation – Eliminating manual processes
• Observability – Building systems you can trust
• Reliability – Engineering for uptime and resilience
• Performance – Optimizing for speed and cost-efficiency

Collaboration & Interests #

I actively contribute to:

• Open-source data tools and frameworks
• MLOps infrastructure projects
• AI/ML engineering communities

I’m always exploring innovative ways to improve data workflows, ML deployment strategies, and cloud architecture patterns.

Let’s Connect! #

Are you working on:

• Transforming data workflows?
• Deploying ML models at scale?
• Building high-impact cloud solutions?

I’d love to connect and collaborate!

“Data is the new oil, but only if you know how to refine it.”